ABSTRACT
Articles, reviews and proceeding papers published from 2012 to 2015 in medical, chemical and physical journals with the highest IF were retrieved from 2014 JCR and analyzed using the BICOMB software to generate the co-occurrence matrix of authors and plot the map of co-authorship network in medical, chemical and physical fields using the UCINET software.The correlation between the parameters for assessing the importance of co-au-thorship network nodes ( degree centrality, betweenness centrality, closeness centrality, eigenvector centrality) and biblimetric parameters of authors ( number of published papers, frequency of cited papers) was analyzed using the SPSS, which showed that degree centrality, betweenness centrality, and eigenvector centrality were positively corre-lated with the number of published papers and the frequency of cited papers whereas betweenness centrality was negatively correlated the number of published papers and the frequency of cited papers.Betweenness centrality was more significantly correlated with the number of published papers whereas degree centrality was more significantly correlated with the frequency of cited papers.